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Name: Mikhail Dozmorov
Type: User
Bio: Bioinformatician, interested in 3D genomics, cancer, statistics, programming, machine and deep learning
Twitter: mikhaildozmorov
Name: Mikhail Dozmorov
Type: User
Bio: Bioinformatician, interested in 3D genomics, cancer, statistics, programming, machine and deep learning
Twitter: mikhaildozmorov
The Cancer Genomics Atlas (TCGA) and other cancer genomics resources
Complete pipeline to process Illumina 450K methylation data.
Gene expression profiles of 63 immune cell types
Expanding collection of biologically active chromatin regions as GRanges.
Epigenomic enrichment analysis of age-related genomic regions
Data and papers related to epigenetic clocks predicting age
R data package for annotating/converting Gene IDs
Web page for the Virginia chapter of American Statistical Association https://asa-va.netlify.com/
Assessing abstracts for eRum 2020
Basic workflow for ATAC-seq analysis
ATACseqQC tutorials for BioC 2019 workshop
Biostatistics for Biomedical Research
Beamer template for RMarkdown class presentation
BioC2020: Where Software and Biology Connect
Multilingual version of the Bioconductor Code of Conduct
BiocAsia2020 repository
Website for bioconductor.org
Stickers for some Bioconductor packages - feel free to contribute and/or modify.
GitHub statistics as a measure of the impact of open-source bioinformatics software
Bioinformatics and genomics resources
"Biostatistical Computing with R" course
"Biostatistical Computing with R" course material
Web site for "Statistical Methods for High-throughput Genomic Data I" BIOS 567 course
Web site for "Statistical Methods for High-throughput Genomic Data I" BIOS 567 course, Fall 2017
Statistical Methods for High-throughput Genomic Data I, https://mdozmorov.github.io/BIOS567.2018/
Web site for "Statistical Methods for High-throughput Genomic Data II" BIOS 668 course, Spring 2018 https://mdozmorov.github.io/BIOS668.2018
Reproducible research tools course, summer 2018 edition
Course material for the BIOS691 "Cancer Bioinformatics" course, January 25 - May 7, 2021
"Deep Learning with R" course material
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.